DETERMINING THE EFFECT OF END CONSUMERS EXPENSES ON THE LOGISTICS SYSTEMS OPERATION
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Abstract
The article presents an approach to determining the consumer's influence on the calculation of the volume of material flow in the logistics system. The approach takes into account the parameters of end-consumers and the logistics system and is an extension of knowledge regarding the use of a consumer-oriented approach in the logistics system. The obtained results can be used in planning functioning of logistics systems, as well as the estimation of total costs of end-consumers, when visiting any retailer.
For the first time, a model of the probability of visiting retailers is presented, which uses the total costs of consumers, which are formed during the purchasing process, as the variables in determining the utility. Depending on the price and non-price factors of the purchasing process, which allows more accurately identify the demand. The proposed model allows to depart from traditional approaches with the defined probability and allows to take maximum account of end-consumers (revenues, structure of costs, etc.), logistics system through the cost of goods and environmental factors, market conditions, etc.
For the first time, a targeted logistic system has been proposed, which includes the total cost of the end-consumer. It is established that the probability of visiting a trading facility depends on such parameters of the environment as the coefficient of non-linearity, the slope coefficient. The revealed patterns and established influence on the coefficient of non-linearity, the slope coefficient, the number of inhabitants in the area, the average distance to the retailer in a competitive environment and the probability of distribution of demand in it. The revealed patterns and the influence on the coefficient of non-linearity, the slope coefficient, the number of inhabitants in the region, the average distance to the retailers for its visiting in logistics systems, and the amount of demand in them, are determined.
Keywords: non-linearity coefficient, slope, retailer, distance, purchase time, consumer driven logistics.
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